{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "3.0/2==3//2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-04-17 21:56:36.647039: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  SSE4.1 SSE4.2 AVX AVX2 FMA\n",
      "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
      "2023-04-17 21:56:38.284184: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  SSE4.1 SSE4.2 AVX AVX2 FMA\n",
      "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
      "2023-04-17 21:56:38.286544: I tensorflow/core/common_runtime/process_util.cc:146] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"model\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " input_1 (InputLayer)        [(None, 224, 224, 3)]     0         \n",
      "                                                                 \n",
      " resnet50 (Functional)       (None, 2048)              23587712  \n",
      "                                                                 \n",
      " dense (Dense)               (None, 3)                 6147      \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 23,593,859\n",
      "Trainable params: 23,540,739\n",
      "Non-trainable params: 53,120\n",
      "_________________________________________________________________\n",
      "tf.Tensor(0.1610088, shape=(), dtype=float32)\n",
      "tf.Tensor(0.9950491, shape=(), dtype=float32)\n",
      "Epoch 1/10\n",
      "4/4 [==============================] - 25s 5s/step - loss: 1.0919 - accuracy: 0.4330 - val_loss: 1.3951 - val_accuracy: 0.4545\n",
      "Epoch 2/10\n",
      "4/4 [==============================] - 20s 5s/step - loss: 0.4798 - accuracy: 0.8041 - val_loss: 2.2643 - val_accuracy: 0.4242\n",
      "Epoch 3/10\n",
      "4/4 [==============================] - 20s 5s/step - loss: 0.4470 - accuracy: 0.8041 - val_loss: 1.6517 - val_accuracy: 0.4545\n",
      "Epoch 4/10\n",
      "4/4 [==============================] - 21s 5s/step - loss: 0.1774 - accuracy: 0.9278 - val_loss: 1.0787 - val_accuracy: 0.5455\n",
      "Epoch 5/10\n",
      "4/4 [==============================] - 21s 5s/step - loss: 0.3558 - accuracy: 0.8454 - val_loss: 1.1772 - val_accuracy: 0.6364\n",
      "Epoch 6/10\n",
      "4/4 [==============================] - 21s 5s/step - loss: 0.3984 - accuracy: 0.8660 - val_loss: 2.4353 - val_accuracy: 0.5152\n",
      "Epoch 7/10\n",
      "4/4 [==============================] - 20s 5s/step - loss: 0.2029 - accuracy: 0.9072 - val_loss: 1.6145 - val_accuracy: 0.5758\n",
      "Epoch 8/10\n",
      "4/4 [==============================] - 21s 5s/step - loss: 0.1931 - accuracy: 0.9175 - val_loss: 1.8588 - val_accuracy: 0.6061\n",
      "Epoch 9/10\n",
      "4/4 [==============================] - 21s 5s/step - loss: 0.2487 - accuracy: 0.9175 - val_loss: 1.7466 - val_accuracy: 0.6364\n",
      "Epoch 10/10\n",
      "4/4 [==============================] - 20s 5s/step - loss: 0.2938 - accuracy: 0.8763 - val_loss: 3.0786 - val_accuracy: 0.4545\n",
      "预测的分类为:  EM3\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "import tensorflow as tf\n",
    "from keras.applications import resnet\n",
    "from keras.losses import SparseCategoricalCrossentropy\n",
    "from keras.layers import *\n",
    "from keras.applications.resnet import preprocess_input\n",
    "from keras import Model\n",
    "from keras.optimizers import Adam\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.model_selection import train_test_split\n",
    "from keras.callbacks import ModelCheckpoint\n",
    "import os\n",
    "pretained = True\n",
    "image_size = 224\n",
    "expand_rate = 1.1\n",
    "expand_size = int(expand_rate * image_size)\n",
    "batch_size = 32\n",
    "learning_rate = 1*1e-5\n",
    "\n",
    "\n",
    "classes = ['EM1', 'EM2','EM3']\n",
    "# 改成你的路径\n",
    "data_dir = '/home/quanwei/Downloads/木瓜成熟度图像识别数据集'\n",
    "\n",
    "# 这个不管\n",
    "weights_file = \"苹果分类ResNet50.h5\"\n",
    "\n",
    "\n",
    "def build_resnet50_model(input_size, num_classes, is_pretrained):\n",
    "    _input = Input((input_size, input_size, 3))\n",
    "    _body = resnet.ResNet50(\n",
    "        include_top=False, weights='imagenet' if is_pretrained else None, pooling='avg')(_input)\n",
    "    _output = Dense(num_classes, activation='softmax')(_body)\n",
    "    model = Model(inputs=_input, outputs=_output)\n",
    "    model.compile(optimizer=Adam(learning_rate=learning_rate),\n",
    "                  loss=SparseCategoricalCrossentropy(from_logits=False), metrics='accuracy')\n",
    "    return model\n",
    "\n",
    "\n",
    "model = build_resnet50_model(image_size, len(classes), True)\n",
    "model.summary()\n",
    "\n",
    "\n",
    "def process_image(filepath, label_idx, show_image=False):\n",
    "    binary = tf.io.read_file(filepath)\n",
    "    image = tf.image.decode_image(\n",
    "        binary, expand_animations=False, dtype=tf.float32)\n",
    "    image_height, image_width = tf.shape(image)[0], tf.shape(image)[1]\n",
    "    # 获取图片的高,获取图片的宽\n",
    "    # 接下来对图片进行等比例缩放.\n",
    "    # 宽与高较大的者的缩放后的尺寸会直接设置为目标图片大小\n",
    "    # 通过上述确定的先后图片边的尺寸,进而确定比例尺\n",
    "    # 通过确定的比例尺对图片另一条边进行缩放\n",
    "    if image_height > image_width:\n",
    "        new_height = expand_size\n",
    "        new_ratio = tf.cast(expand_size, tf.float32) / \\\n",
    "            tf.cast(image_height, tf.float32)\n",
    "        new_width = tf.clip_by_value(\n",
    "            tf.cast(tf.cast(image_width, tf.float32) * new_ratio, tf.int32), 0, expand_size)\n",
    "    else:\n",
    "        new_width = expand_size\n",
    "        new_ratio = tf.cast(expand_size, tf.float32) / \\\n",
    "            tf.cast(image_width, tf.float32)\n",
    "        new_height = tf.clip_by_value(tf.cast(\n",
    "            tf.cast(image_height, tf.float32) * new_ratio, tf.int32), 0, expand_size)\n",
    "    image_big = tf.image.resize(\n",
    "        image, [new_height, new_width])  # 对图片按照计算出的高于宽进行调整\n",
    "    image_expand = tf.pad(image_big, [[(expand_size - new_height)//2, expand_size-(new_height+(expand_size - new_height)//2)],\n",
    "                                      [(expand_size - new_width)//2, expand_size-(new_width+(expand_size - new_width)//2)], [0, 0]])\n",
    "    image_crop = tf.image.random_crop(\n",
    "        image_expand, [image_size, image_size, 3])\n",
    "    image_flip = tf.image.random_flip_left_right(image_crop)\n",
    "    image_output = tf.image.random_flip_up_down(image_flip)\n",
    "    #image_output = tf.image.transpose(image_flip,tf.gather([0,90,270],tf.random.uniform((),minval=0,maxval=3,dtype=tf.int32)))\n",
    "    if not show_image:\n",
    "        image_output = preprocess_input(image_output * 255.)\n",
    "    return image_output, label_idx\n",
    "\n",
    "img=data_dir+\"/EM3/EM3_D16_L2.JPG\"\n",
    "\n",
    "test_image, _ = process_image(img, '', show_image=True)\n",
    "print(tf.reduce_mean(test_image))\n",
    "print(tf.reduce_max(test_image))\n",
    "plt.imshow(test_image)\n",
    "\n",
    "\n",
    "def load_dataset(data_dir):\n",
    "    filepaths = []\n",
    "    label_idices = []\n",
    "    for label_idx, current_dir in enumerate(classes):\n",
    "        for filename in os.listdir(os.path.join(data_dir, current_dir)):\n",
    "            filepath = os.path.join(data_dir, current_dir, filename)\n",
    "            filepaths.append(filepath)\n",
    "            label_idices.append(label_idx)\n",
    "    return filepaths, label_idices\n",
    "\n",
    "\n",
    "x_train, x_test, y_train, y_test = train_test_split(\n",
    "    *load_dataset(data_dir), shuffle=True, random_state=1234)\n",
    "train_dataset = tf.data.Dataset.from_tensor_slices((x_train, y_train)).shuffle(2048, seed=1234).map(\n",
    "    process_image, num_parallel_calls=32).prefetch(tf.data.AUTOTUNE).batch(batch_size)\n",
    "test_dataset = tf.data.Dataset.from_tensor_slices((x_test, y_test)).shuffle(2048, seed=1234).map(\n",
    "    process_image, num_parallel_calls=32).prefetch(tf.data.AUTOTUNE).batch(batch_size)\n",
    "model.compile(optimizer=Adam(learning_rate=2*1e-4),\n",
    "              loss=SparseCategoricalCrossentropy(from_logits=False), metrics='accuracy')\n",
    "\n",
    "if os.path.exists(weights_file):\n",
    "    model.load_weights(weights_file)\n",
    "else:\n",
    "    model.fit(train_dataset, validation_data=test_dataset, epochs=10)\n",
    "\n",
    "\n",
    "def predict_image(imagepath):\n",
    "    input_image = tf.expand_dims(process_image(imagepath, '')[0], axis=0)\n",
    "    output_probs = model(input_image)\n",
    "    image_label_idx = tf.argmax(output_probs, axis=-1)[0]\n",
    "    image_label = tf.gather(classes, image_label_idx).numpy()\n",
    "    image_label = image_label.decode(\"UTF-8\")\n",
    "    return image_label\n",
    "\n",
    "\n",
    "# 换成2试试？\n",
    "label = predict_image(data_dir+\"/EM3/EM3_D16_L2.JPG\")\n",
    "print(\"预测的分类为: \", label)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'EM3'"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predict_image(data_dir+\"/EM3/EM3_D23_L2.JPG\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "arr = []\n",
    "i = 0\n",
    "while(i<m):\n",
    "    arr.append(0)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "arr = []\n",
    "for i in range(m):\n",
    "    arr.append(0)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(np.array([i**2 for i in x])[1200:1300])\n",
    "print(min(np.array([i**2 for i in x])[1200:1300]))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "suits = [\"黑\", \"红\", \"花\", \"方\"]\n",
    "ranks = [\"A\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"J\", \"Q\", \"K\"]\n",
    "deck = [(suit, rank)for suit in suits for rank in ranks]\n",
    "random.shuffle(deck)\n",
    "\n",
    "mp = {}  # mp[牌]=点数 : 牌 -> 点数 的映射\n",
    "for i in range(1, len(ranks)+1):\n",
    "    mp[ranks[i-1]] = i\n",
    "\n",
    "# 最大点数和，赢家\n",
    "maxSum, winner = -1, None\n",
    "\n",
    "for i in range(4):\n",
    "    cards = deck[i::4]  # 玩家的牌\n",
    "    print(\"玩家{}手牌为：{}\".format(i+1, cards))\n",
    "\n",
    "    sum = 0  # 点数和\n",
    "    for card in cards:  # 计算点数和\n",
    "        sum += mp[card[1]]\n",
    "    print(f'点数和为 {sum}')\n",
    "\n",
    "    if sum > maxSum:  # 用最大点数和更新赢家\n",
    "        maxSum = sum\n",
    "        winner = i+1\n",
    "print(f'最大点数和为: {maxSum}, 赢家是: 玩家{winner}')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "card=('方', 'A')\n",
    "print(card[0])\n",
    "print(card[1])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "Timeout value connect was <object object at 0x7faef65ace10>, but it must be an int, float or None.",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[7], line 5\u001b[0m\n\u001b[1;32m      3\u001b[0m url\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mhttp://netke.top\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m      4\u001b[0m \u001b[39m# 注册驱动\u001b[39;00m\n\u001b[0;32m----> 5\u001b[0m browser \u001b[39m=\u001b[39m webdriver\u001b[39m.\u001b[39;49mFirefox()\n\u001b[1;32m      6\u001b[0m \u001b[39m# 打开浏览器\u001b[39;00m\n\u001b[1;32m      7\u001b[0m browser\u001b[39m.\u001b[39mget(url)\n",
      "File \u001b[0;32m/opt/miniconda/lib/python3.10/site-packages/selenium/webdriver/firefox/webdriver.py:170\u001b[0m, in \u001b[0;36mWebDriver.__init__\u001b[0;34m(self, firefox_profile, firefox_binary, timeout, capabilities, proxy, executable_path, options, service_log_path, firefox_options, service_args, desired_capabilities, log_path, keep_alive)\u001b[0m\n\u001b[1;32m    166\u001b[0m     capabilities\u001b[39m.\u001b[39mupdate(options\u001b[39m.\u001b[39mto_capabilities())\n\u001b[1;32m    168\u001b[0m     executor \u001b[39m=\u001b[39m FirefoxRemoteConnection(\n\u001b[1;32m    169\u001b[0m         remote_server_addr\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mservice\u001b[39m.\u001b[39mservice_url)\n\u001b[0;32m--> 170\u001b[0m     RemoteWebDriver\u001b[39m.\u001b[39;49m\u001b[39m__init__\u001b[39;49m(\n\u001b[1;32m    171\u001b[0m         \u001b[39mself\u001b[39;49m,\n\u001b[1;32m    172\u001b[0m         command_executor\u001b[39m=\u001b[39;49mexecutor,\n\u001b[1;32m    173\u001b[0m         desired_capabilities\u001b[39m=\u001b[39;49mcapabilities,\n\u001b[1;32m    174\u001b[0m         keep_alive\u001b[39m=\u001b[39;49m\u001b[39mTrue\u001b[39;49;00m)\n\u001b[1;32m    176\u001b[0m \u001b[39m# Selenium remote\u001b[39;00m\n\u001b[1;32m    177\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m    178\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mbinary \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n",
      "File \u001b[0;32m/opt/miniconda/lib/python3.10/site-packages/selenium/webdriver/remote/webdriver.py:157\u001b[0m, in \u001b[0;36mWebDriver.__init__\u001b[0;34m(self, command_executor, desired_capabilities, browser_profile, proxy, keep_alive, file_detector, options)\u001b[0m\n\u001b[1;32m    154\u001b[0m \u001b[39mif\u001b[39;00m browser_profile \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m    155\u001b[0m     warnings\u001b[39m.\u001b[39mwarn(\u001b[39m\"\u001b[39m\u001b[39mPlease use FirefoxOptions to set browser profile\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[1;32m    156\u001b[0m                   \u001b[39mDeprecationWarning\u001b[39;00m, stacklevel\u001b[39m=\u001b[39m\u001b[39m2\u001b[39m)\n\u001b[0;32m--> 157\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mstart_session(capabilities, browser_profile)\n\u001b[1;32m    158\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_switch_to \u001b[39m=\u001b[39m SwitchTo(\u001b[39mself\u001b[39m)\n\u001b[1;32m    159\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_mobile \u001b[39m=\u001b[39m Mobile(\u001b[39mself\u001b[39m)\n",
      "File \u001b[0;32m/opt/miniconda/lib/python3.10/site-packages/selenium/webdriver/remote/webdriver.py:252\u001b[0m, in \u001b[0;36mWebDriver.start_session\u001b[0;34m(self, capabilities, browser_profile)\u001b[0m\n\u001b[1;32m    249\u001b[0m w3c_caps \u001b[39m=\u001b[39m _make_w3c_caps(capabilities)\n\u001b[1;32m    250\u001b[0m parameters \u001b[39m=\u001b[39m {\u001b[39m\"\u001b[39m\u001b[39mcapabilities\u001b[39m\u001b[39m\"\u001b[39m: w3c_caps,\n\u001b[1;32m    251\u001b[0m               \u001b[39m\"\u001b[39m\u001b[39mdesiredCapabilities\u001b[39m\u001b[39m\"\u001b[39m: capabilities}\n\u001b[0;32m--> 252\u001b[0m response \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mexecute(Command\u001b[39m.\u001b[39;49mNEW_SESSION, parameters)\n\u001b[1;32m    253\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39m'\u001b[39m\u001b[39msessionId\u001b[39m\u001b[39m'\u001b[39m \u001b[39mnot\u001b[39;00m \u001b[39min\u001b[39;00m response:\n\u001b[1;32m    254\u001b[0m     response \u001b[39m=\u001b[39m response[\u001b[39m'\u001b[39m\u001b[39mvalue\u001b[39m\u001b[39m'\u001b[39m]\n",
      "File \u001b[0;32m/opt/miniconda/lib/python3.10/site-packages/selenium/webdriver/remote/webdriver.py:319\u001b[0m, in \u001b[0;36mWebDriver.execute\u001b[0;34m(self, driver_command, params)\u001b[0m\n\u001b[1;32m    316\u001b[0m         params[\u001b[39m'\u001b[39m\u001b[39msessionId\u001b[39m\u001b[39m'\u001b[39m] \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39msession_id\n\u001b[1;32m    318\u001b[0m params \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_wrap_value(params)\n\u001b[0;32m--> 319\u001b[0m response \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mcommand_executor\u001b[39m.\u001b[39;49mexecute(driver_command, params)\n\u001b[1;32m    320\u001b[0m \u001b[39mif\u001b[39;00m response:\n\u001b[1;32m    321\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39merror_handler\u001b[39m.\u001b[39mcheck_response(response)\n",
      "File \u001b[0;32m/opt/miniconda/lib/python3.10/site-packages/selenium/webdriver/remote/remote_connection.py:374\u001b[0m, in \u001b[0;36mRemoteConnection.execute\u001b[0;34m(self, command, params)\u001b[0m\n\u001b[1;32m    372\u001b[0m data \u001b[39m=\u001b[39m utils\u001b[39m.\u001b[39mdump_json(params)\n\u001b[1;32m    373\u001b[0m url \u001b[39m=\u001b[39m \u001b[39m'\u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m%s\u001b[39;00m\u001b[39m'\u001b[39m \u001b[39m%\u001b[39m (\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_url, path)\n\u001b[0;32m--> 374\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_request(command_info[\u001b[39m0\u001b[39;49m], url, body\u001b[39m=\u001b[39;49mdata)\n",
      "File \u001b[0;32m/opt/miniconda/lib/python3.10/site-packages/selenium/webdriver/remote/remote_connection.py:397\u001b[0m, in \u001b[0;36mRemoteConnection._request\u001b[0;34m(self, method, url, body)\u001b[0m\n\u001b[1;32m    394\u001b[0m     body \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m    396\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mkeep_alive:\n\u001b[0;32m--> 397\u001b[0m     resp \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_conn\u001b[39m.\u001b[39;49mrequest(method, url, body\u001b[39m=\u001b[39;49mbody, headers\u001b[39m=\u001b[39;49mheaders)\n\u001b[1;32m    399\u001b[0m     statuscode \u001b[39m=\u001b[39m resp\u001b[39m.\u001b[39mstatus\n\u001b[1;32m    400\u001b[0m \u001b[39melse\u001b[39;00m:\n",
      "File \u001b[0;32m~/.local/lib/python3.10/site-packages/urllib3/_request_methods.py:118\u001b[0m, in \u001b[0;36mRequestMethods.request\u001b[0;34m(self, method, url, body, fields, headers, json, **urlopen_kw)\u001b[0m\n\u001b[1;32m    110\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mrequest_encode_url(\n\u001b[1;32m    111\u001b[0m         method,\n\u001b[1;32m    112\u001b[0m         url,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    115\u001b[0m         \u001b[39m*\u001b[39m\u001b[39m*\u001b[39murlopen_kw,\n\u001b[1;32m    116\u001b[0m     )\n\u001b[1;32m    117\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m--> 118\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mrequest_encode_body(\n\u001b[1;32m    119\u001b[0m         method, url, fields\u001b[39m=\u001b[39;49mfields, headers\u001b[39m=\u001b[39;49mheaders, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49murlopen_kw\n\u001b[1;32m    120\u001b[0m     )\n",
      "File \u001b[0;32m~/.local/lib/python3.10/site-packages/urllib3/_request_methods.py:217\u001b[0m, in \u001b[0;36mRequestMethods.request_encode_body\u001b[0;34m(self, method, url, fields, headers, encode_multipart, multipart_boundary, **urlopen_kw)\u001b[0m\n\u001b[1;32m    213\u001b[0m     extra_kw[\u001b[39m\"\u001b[39m\u001b[39mheaders\u001b[39m\u001b[39m\"\u001b[39m]\u001b[39m.\u001b[39msetdefault(\u001b[39m\"\u001b[39m\u001b[39mContent-Type\u001b[39m\u001b[39m\"\u001b[39m, content_type)\n\u001b[1;32m    215\u001b[0m extra_kw\u001b[39m.\u001b[39mupdate(urlopen_kw)\n\u001b[0;32m--> 217\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49murlopen(method, url, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mextra_kw)\n",
      "File \u001b[0;32m~/.local/lib/python3.10/site-packages/urllib3/poolmanager.py:422\u001b[0m, in \u001b[0;36mPoolManager.urlopen\u001b[0;34m(self, method, url, redirect, **kw)\u001b[0m\n\u001b[1;32m    412\u001b[0m \u001b[39m\u001b[39m\u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m    413\u001b[0m \u001b[39mSame as :meth:`urllib3.HTTPConnectionPool.urlopen`\u001b[39;00m\n\u001b[1;32m    414\u001b[0m \u001b[39mwith custom cross-host redirect logic and only sends the request-uri\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    418\u001b[0m \u001b[39m:class:`urllib3.connectionpool.ConnectionPool` can be chosen for it.\u001b[39;00m\n\u001b[1;32m    419\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m    420\u001b[0m u \u001b[39m=\u001b[39m parse_url(url)\n\u001b[0;32m--> 422\u001b[0m conn \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mconnection_from_host(u\u001b[39m.\u001b[39;49mhost, port\u001b[39m=\u001b[39;49mu\u001b[39m.\u001b[39;49mport, scheme\u001b[39m=\u001b[39;49mu\u001b[39m.\u001b[39;49mscheme)\n\u001b[1;32m    424\u001b[0m kw[\u001b[39m\"\u001b[39m\u001b[39massert_same_host\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m \u001b[39mFalse\u001b[39;00m\n\u001b[1;32m    425\u001b[0m kw[\u001b[39m\"\u001b[39m\u001b[39mredirect\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m \u001b[39mFalse\u001b[39;00m\n",
      "File \u001b[0;32m~/.local/lib/python3.10/site-packages/urllib3/poolmanager.py:303\u001b[0m, in \u001b[0;36mPoolManager.connection_from_host\u001b[0;34m(self, host, port, scheme, pool_kwargs)\u001b[0m\n\u001b[1;32m    300\u001b[0m request_context[\u001b[39m\"\u001b[39m\u001b[39mport\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m port\n\u001b[1;32m    301\u001b[0m request_context[\u001b[39m\"\u001b[39m\u001b[39mhost\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m host\n\u001b[0;32m--> 303\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mconnection_from_context(request_context)\n",
      "File \u001b[0;32m~/.local/lib/python3.10/site-packages/urllib3/poolmanager.py:328\u001b[0m, in \u001b[0;36mPoolManager.connection_from_context\u001b[0;34m(self, request_context)\u001b[0m\n\u001b[1;32m    325\u001b[0m     \u001b[39mraise\u001b[39;00m URLSchemeUnknown(scheme)\n\u001b[1;32m    326\u001b[0m pool_key \u001b[39m=\u001b[39m pool_key_constructor(request_context)\n\u001b[0;32m--> 328\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mconnection_from_pool_key(pool_key, request_context\u001b[39m=\u001b[39;49mrequest_context)\n",
      "File \u001b[0;32m~/.local/lib/python3.10/site-packages/urllib3/poolmanager.py:351\u001b[0m, in \u001b[0;36mPoolManager.connection_from_pool_key\u001b[0;34m(self, pool_key, request_context)\u001b[0m\n\u001b[1;32m    349\u001b[0m     host \u001b[39m=\u001b[39m request_context[\u001b[39m\"\u001b[39m\u001b[39mhost\u001b[39m\u001b[39m\"\u001b[39m]\n\u001b[1;32m    350\u001b[0m     port \u001b[39m=\u001b[39m request_context[\u001b[39m\"\u001b[39m\u001b[39mport\u001b[39m\u001b[39m\"\u001b[39m]\n\u001b[0;32m--> 351\u001b[0m     pool \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_new_pool(scheme, host, port, request_context\u001b[39m=\u001b[39;49mrequest_context)\n\u001b[1;32m    352\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mpools[pool_key] \u001b[39m=\u001b[39m pool\n\u001b[1;32m    354\u001b[0m \u001b[39mreturn\u001b[39;00m pool\n",
      "File \u001b[0;32m~/.local/lib/python3.10/site-packages/urllib3/poolmanager.py:265\u001b[0m, in \u001b[0;36mPoolManager._new_pool\u001b[0;34m(self, scheme, host, port, request_context)\u001b[0m\n\u001b[1;32m    262\u001b[0m     \u001b[39mfor\u001b[39;00m kw \u001b[39min\u001b[39;00m SSL_KEYWORDS:\n\u001b[1;32m    263\u001b[0m         request_context\u001b[39m.\u001b[39mpop(kw, \u001b[39mNone\u001b[39;00m)\n\u001b[0;32m--> 265\u001b[0m \u001b[39mreturn\u001b[39;00m pool_cls(host, port, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mrequest_context)\n",
      "File \u001b[0;32m~/.local/lib/python3.10/site-packages/urllib3/connectionpool.py:196\u001b[0m, in \u001b[0;36mHTTPConnectionPool.__init__\u001b[0;34m(self, host, port, timeout, maxsize, block, headers, retries, _proxy, _proxy_headers, _proxy_config, **conn_kw)\u001b[0m\n\u001b[1;32m    193\u001b[0m RequestMethods\u001b[39m.\u001b[39m\u001b[39m__init__\u001b[39m(\u001b[39mself\u001b[39m, headers)\n\u001b[1;32m    195\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39misinstance\u001b[39m(timeout, Timeout):\n\u001b[0;32m--> 196\u001b[0m     timeout \u001b[39m=\u001b[39m Timeout\u001b[39m.\u001b[39;49mfrom_float(timeout)\n\u001b[1;32m    198\u001b[0m \u001b[39mif\u001b[39;00m retries \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m    199\u001b[0m     retries \u001b[39m=\u001b[39m Retry\u001b[39m.\u001b[39mDEFAULT\n",
      "File \u001b[0;32m~/.local/lib/python3.10/site-packages/urllib3/util/timeout.py:190\u001b[0m, in \u001b[0;36mTimeout.from_float\u001b[0;34m(cls, timeout)\u001b[0m\n\u001b[1;32m    176\u001b[0m \u001b[39m@classmethod\u001b[39m\n\u001b[1;32m    177\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mfrom_float\u001b[39m(\u001b[39mcls\u001b[39m, timeout: _TYPE_TIMEOUT) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m Timeout:\n\u001b[1;32m    178\u001b[0m \u001b[39m    \u001b[39m\u001b[39m\"\"\"Create a new Timeout from a legacy timeout value.\u001b[39;00m\n\u001b[1;32m    179\u001b[0m \n\u001b[1;32m    180\u001b[0m \u001b[39m    The timeout value used by httplib.py sets the same timeout on the\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    188\u001b[0m \u001b[39m    :rtype: :class:`Timeout`\u001b[39;00m\n\u001b[1;32m    189\u001b[0m \u001b[39m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 190\u001b[0m     \u001b[39mreturn\u001b[39;00m Timeout(read\u001b[39m=\u001b[39;49mtimeout, connect\u001b[39m=\u001b[39;49mtimeout)\n",
      "File \u001b[0;32m~/.local/lib/python3.10/site-packages/urllib3/util/timeout.py:119\u001b[0m, in \u001b[0;36mTimeout.__init__\u001b[0;34m(self, total, connect, read)\u001b[0m\n\u001b[1;32m    113\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__init__\u001b[39m(\n\u001b[1;32m    114\u001b[0m     \u001b[39mself\u001b[39m,\n\u001b[1;32m    115\u001b[0m     total: _TYPE_TIMEOUT \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m,\n\u001b[1;32m    116\u001b[0m     connect: _TYPE_TIMEOUT \u001b[39m=\u001b[39m _DEFAULT_TIMEOUT,\n\u001b[1;32m    117\u001b[0m     read: _TYPE_TIMEOUT \u001b[39m=\u001b[39m _DEFAULT_TIMEOUT,\n\u001b[1;32m    118\u001b[0m ) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m--> 119\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_connect \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_validate_timeout(connect, \u001b[39m\"\u001b[39;49m\u001b[39mconnect\u001b[39;49m\u001b[39m\"\u001b[39;49m)\n\u001b[1;32m    120\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_read \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_validate_timeout(read, \u001b[39m\"\u001b[39m\u001b[39mread\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m    121\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mtotal \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_validate_timeout(total, \u001b[39m\"\u001b[39m\u001b[39mtotal\u001b[39m\u001b[39m\"\u001b[39m)\n",
      "File \u001b[0;32m~/.local/lib/python3.10/site-packages/urllib3/util/timeout.py:156\u001b[0m, in \u001b[0;36mTimeout._validate_timeout\u001b[0;34m(cls, value, name)\u001b[0m\n\u001b[1;32m    154\u001b[0m     \u001b[39mfloat\u001b[39m(value)\n\u001b[1;32m    155\u001b[0m \u001b[39mexcept\u001b[39;00m (\u001b[39mTypeError\u001b[39;00m, \u001b[39mValueError\u001b[39;00m):\n\u001b[0;32m--> 156\u001b[0m     \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\n\u001b[1;32m    157\u001b[0m         \u001b[39m\"\u001b[39m\u001b[39mTimeout value \u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m was \u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m, but it must be an \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m    158\u001b[0m         \u001b[39m\"\u001b[39m\u001b[39mint, float or None.\u001b[39m\u001b[39m\"\u001b[39m \u001b[39m%\u001b[39m (name, value)\n\u001b[1;32m    159\u001b[0m     ) \u001b[39mfrom\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m    161\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m    162\u001b[0m     \u001b[39mif\u001b[39;00m value \u001b[39m<\u001b[39m\u001b[39m=\u001b[39m \u001b[39m0\u001b[39m:\n",
      "\u001b[0;31mValueError\u001b[0m: Timeout value connect was <object object at 0x7faef65ace10>, but it must be an int, float or None."
     ]
    }
   ],
   "source": [
    "from selenium import webdriver\n",
    "\n",
    "url=\"http://netke.top\"\n",
    "# 注册驱动\n",
    "browser = webdriver.Firefox()\n",
    "# 打开浏览器\n",
    "browser.get(url)\n",
    "# 查找等待"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
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    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
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   "types_to_exclude": [
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